{"id":"W2405511894","doi":"10.3357/amhp.4633.2016","title":"3D Printing Applications for Space Missions","year":2016,"lang":"en","type":"article","venue":"Aerospace Medicine and Human Performance","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Hum; Space (punctuation); Space suit; Aeronautics; Aerospace engineering; Space Shuttle; Space exploration; Computer science; Engineering; Astrobiology; Physics; History; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004421852,0.0007866049,0.0003637529,0.001092825,0.0003875101,0.001342226,0.0006517873,0.001582822,0.008648368],"category_scores_gemma":[0.0006283557,0.0003236435,0.0007976549,0.001047721,0.0003880617,0.0005908782,0.0008320002,0.0007313651,0.002539627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003648,"about_ca_system_score_gemma":0.0002703361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003436838,"about_ca_topic_score_gemma":0.0009981266,"domain_scores_codex":[0.9994972,0.00005440855,0.00002812749,0.00003964018,0.0003488993,0.00003180212],"domain_scores_gemma":[0.99964,0.0001401919,0.00005269811,0.00006588031,0.00007881466,0.00002243574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001948507,0.0001017196,0.0008364719,0.001283442,0.0000503924,0.001183832,0.0002664411,0.0128141,0.6312059,0.009233773,0.005954249,0.3368748],"study_design_scores_gemma":[0.00002494618,0.0004645798,0.004798239,0.0003272473,0.0001302693,0.005510086,0.000204456,0.01996075,0.7399463,0.007799217,0.2207215,0.0001123897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1950749,0.1250069,0.4841615,0.002545519,0.004170363,0.0002867833,0.001230509,0.004577813,0.1829456],"genre_scores_gemma":[0.7540926,0.03692989,0.1382866,0.001028384,0.0008945775,0.0001353864,0.0005057745,0.000520597,0.06760625],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008648368,"threshold_uncertainty_score":0.02893168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213504422665557,"score_gpt":0.2552844986823767,"score_spread":0.2331494544557212,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}